ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1508.01667
  4. Cited By
Places205-VGGNet Models for Scene Recognition

Places205-VGGNet Models for Scene Recognition

7 August 2015
Limin Wang
Sheng Guo
Weilin Huang
Yu Qiao
ArXivPDFHTML

Papers citing "Places205-VGGNet Models for Scene Recognition"

31 / 31 papers shown
Title
Vertical Federated Image Segmentation
Vertical Federated Image Segmentation
Paul K. Mandal
Cole Leo
41
0
0
15 Jan 2024
Horizontal Federated Computer Vision
Horizontal Federated Computer Vision
Paul K. Mandal
Cole Leo
Connor Hurley
FedML
ObjD
46
0
0
31 Dec 2023
A Generic Performance Model for Deep Learning in a Distributed
  Environment
A Generic Performance Model for Deep Learning in a Distributed Environment
Tulasi Kavarakuntla
Liangxiu Han
H. Lloyd
Annabel Latham
Anthony Kleerekoper
S. Akintoye
44
0
0
19 May 2023
Attentional Graph Convolutional Network for Structure-aware Audio-Visual
  Scene Classification
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification
Liguang Zhou
Yuhongze Zhou
Xiaonan Qi
Junjie Hu
Tin Lun Lam
Yangsheng Xu
43
12
0
31 Dec 2022
A Robotic Visual Grasping Design: Rethinking Convolution Neural Network
  with High-Resolutions
A Robotic Visual Grasping Design: Rethinking Convolution Neural Network with High-Resolutions
Zhangli Zhou
Shaochen Wang
Ziyang Chen
Mingyu Cai
Z. Kan
37
3
0
15 Sep 2022
Geometrical Homogeneous Clustering for Image Data Reduction
Geometrical Homogeneous Clustering for Image Data Reduction
Shril Mody
Janvi Thakkar
Devvrat Joshi
Siddharth Soni
Rohan Patil
Nipun Batra
26
2
0
27 Aug 2022
Identifying the exterior image of buildings on a 3D map and extracting
  elevation information using deep learning and digital image processing
Identifying the exterior image of buildings on a 3D map and extracting elevation information using deep learning and digital image processing
D. Shon
Byeongjoon Noh
Nahyang Byun
3DPC
13
2
0
04 Jan 2022
An overview of deep learning techniques for epileptic seizures detection
  and prediction based on neuroimaging modalities: Methods, challenges, and
  future works
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
A. Shoeibi
Parisa Moridian
Marjane Khodatars
Navid Ghassemi
M. Jafari
...
Juan M Gorriz
Javier Ramírez
Abbas Khosravi
S. Nahavandi
U. Acharya
28
49
0
29 May 2021
A Survey on Image Aesthetic Assessment
A Survey on Image Aesthetic Assessment
A. Anwar
Saira Kanwal
Muhammad Mohsin Tahir
Muhammad Saqib
Muhammad Uzair
Mohammad Khalid Imam Rahmani
Habib Ullah
33
3
0
22 Mar 2021
Robust Machine Learning Systems: Challenges, Current Trends,
  Perspectives, and the Road Ahead
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
Mohamed Bennai
Mahum Naseer
T. Theocharides
C. Kyrkou
O. Mutlu
Lois Orosa
Jungwook Choi
OOD
81
100
0
04 Jan 2021
Power Normalizations in Fine-grained Image, Few-shot Image and Graph
  Classification
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification
Piotr Koniusz
Hongguang Zhang
52
56
0
27 Dec 2020
Action Recognition with Deep Multiple Aggregation Networks
Action Recognition with Deep Multiple Aggregation Networks
A. Mazari
H. Sahbi
34
0
0
08 Jun 2020
A General Framework for Edited Video and Raw Video Summarization
A General Framework for Edited Video and Raw Video Summarization
Xuelong Li
Bin Zhao
Xiaoqiang Lu
VGen
19
105
0
24 Apr 2019
Security for Machine Learning-based Systems: Attacks and Challenges
  during Training and Inference
Security for Machine Learning-based Systems: Attacks and Challenges during Training and Inference
Faiq Khalid
Muhammad Abdullah Hanif
Semeen Rehman
Mohamed Bennai
AAML
13
22
0
05 Nov 2018
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on
  Adversarial Machine Learning
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning
Faiq Khalid
Muhammad Abdullah Hanif
Semeen Rehman
Junaid Qadir
Mohamed Bennai
AAML
16
34
0
04 Nov 2018
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep
  Neural Networks
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks
Faiq Khalid
Muhammad Abdullah Hanif
Semeen Rehman
Rehan Ahmed
Mohamed Bennai
AAML
32
21
0
02 Nov 2018
Second-order Democratic Aggregation
Second-order Democratic Aggregation
Tsung-Yu Lin
Subhransu Maji
Piotr Koniusz
27
31
0
22 Aug 2018
A Deeper Look at Power Normalizations
A Deeper Look at Power Normalizations
Piotr Koniusz
Hongguang Zhang
Fatih Porikli
18
56
0
24 Jun 2018
Beyond Narrative Description: Generating Poetry from Images by
  Multi-Adversarial Training
Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training
Bei Liu
Jianlong Fu
Makoto P. Kato
Masatoshi Yoshikawa
GAN
30
73
0
23 Apr 2018
Forecasting User Attention During Everyday Mobile Interactions Using
  Device-Integrated and Wearable Sensors
Forecasting User Attention During Everyday Mobile Interactions Using Device-Integrated and Wearable Sensors
Julian Steil
P. Müller
Yusuke Sugano
Andreas Bulling
26
42
0
18 Jan 2018
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600
  Papers Survey
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
Hirokatsu Kataoka
Soma Shirakabe
Yun He
S. Ueta
Teppei Suzuki
...
Ryousuke Takasawa
Masataka Fuchida
Yudai Miyashita
Kazushige Okayasu
Yuta Matsuzaki
30
1
0
20 Jul 2017
Look No Further: Adapting the Localization Sensory Window to the
  Temporal Characteristics of the Environment
Look No Further: Adapting the Localization Sensory Window to the Temporal Characteristics of the Environment
Jake Bruce
A. Jacobson
Michael Milford
11
7
0
19 Jun 2017
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and
  Multilabel Classification
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification
Maksim Lapin
Matthias Hein
Bernt Schiele
38
102
0
12 Dec 2016
Knowledge Guided Disambiguation for Large-Scale Scene Classification
  with Multi-Resolution CNNs
Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs
Limin Wang
Sheng Guo
Weilin Huang
Yuanjun Xiong
Yu Qiao
35
142
0
04 Oct 2016
Weakly Supervised PatchNets: Describing and Aggregating Local Patches
  for Scene Recognition
Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition
Zhe Wang
Limin Wang
Yali Wang
Bowen Zhang
Yu Qiao
27
81
0
01 Sep 2016
Seeing with Humans: Gaze-Assisted Neural Image Captioning
Seeing with Humans: Gaze-Assisted Neural Image Captioning
Yusuke Sugano
Andreas Bulling
24
68
0
18 Aug 2016
Collaborative Layer-wise Discriminative Learning in Deep Neural Networks
Collaborative Layer-wise Discriminative Learning in Deep Neural Networks
Xiaojie Jin
Yunpeng Chen
Jian Dong
Jiashi Feng
Shuicheng Yan
28
21
0
19 Jul 2016
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain
  Adaptation
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation
Guosen Xie
Xu-Yao Zhang
Shuicheng Yan
Cheng-Lin Liu
ObjD
18
149
0
29 Jan 2016
Locally-Supervised Deep Hybrid Model for Scene Recognition
Locally-Supervised Deep Hybrid Model for Scene Recognition
Sheng Guo
Weilin Huang
Limin Wang
Yu Qiao
18
53
0
27 Jan 2016
Loss Functions for Top-k Error: Analysis and Insights
Loss Functions for Top-k Error: Analysis and Insights
Maksim Lapin
Matthias Hein
Bernt Schiele
30
94
0
01 Dec 2015
Better Exploiting OS-CNNs for Better Event Recognition in Images
Better Exploiting OS-CNNs for Better Event Recognition in Images
Limin Wang
Zhe Wang
Sheng Guo
Yu Qiao
30
24
0
14 Oct 2015
1